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cyberforge-projects

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Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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CyberForge Projects

Real OSS-Fuzz C/C++ projects with injected, PoV-validated vulnerabilities, built with CyberForge — 1,034 vulnerabilities across 100 projects.

One archive per project. Each <project>.tar.gz unpacks to that project's tree:

<project>/
├── project.json                        # metadata + secure_base_commit + prebuilt dockerhub_image
├── setup/                              # Dockerfile, build.sh, project.yaml (OSS-Fuzz build)
├── unit_tests/                         # test.sh + parse_results.py
└── vulnerabilities/
    └── vulnerability_<PIPELINE>_<N>/
        ├── inject_vulnerability.diff    # apply -> introduces the vulnerability
        ├── vulnerability_metadata.json  # id, cwe_id, secure_base_commit, ...
        ├── sanitizer_report.txt         # the crash/divergence proving it triggers
        ├── vuln_description.md           # natural-language bug report
        └── exploit_files/
            └── exploit.sh               # proof-of-vulnerability entrypoint

<PIPELINE> is the injection pipeline: FZ (fuzzer-guided), WF_RAG and WF_LLM (agentic).

Usage 

# fetch one project and unpack it
hf download AmL-hug/cyberforge-projects guetzli.tar.gz --repo-type dataset --local-dir .
tar xzf guetzli.tar.gz

Key files

  • inject_vulnerability.diff — applying it at secure_base_commit introduces the vulnerability; reverting it is the ground-truth fix.
  • exploit_files/exploit.sh — runs the proof-of-vulnerability against the built target.
  • sanitizer_report.txt — the sanitizer crash (or behavioral divergence) that fires on the vulnerable build and is silent on the secure build.

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